Hu Wenmiao
Ph.D. candidate & Ph.D. Researcher
Biography
Ph.D. National University of Singapore (2024), Ph.D. researcher at Grab, Grab NUS AI Lab.
I am currently a Ph.D. researcher at Grab, Grab NUS AI Lab, and a Ph.D. candidate at National University of Singapore, graduating in 2024. My Ph.D. thesis “Usage of very high-resolution optical RGB satellite imagery in geo-information extraction for fine-scale map making” studies different methods and sub-topics to use satellite imagery in geoinformation extraction for map making with fusion with other data sources. In the Ph.D. we explored methods related to synthetic image generation, image segmentation, scene understanding, cross-view matching, etc.
Before this, I obtained my Master of Science degree (2016) at Technical University Munich (Germany), Earth Oriented Space Science and Technology (ESPACE), where I gained knowledge about earth system science, remote sensing, and navigation. My master thesis ”Object-based multi-view façade matching in SAR images of dense urban areas” focuses on matching building façades in Synthetic Aperture Radar data from multiple different viewing angles via radargrammetry. I received a Bachelor of Engineering degree from Nanyang Technology University (Singapore), School of Electrical and Electronic Engineering in 2014.
My research interests include location-based augmented/mixed reality, satellite imagery, geo-localization and scene understanding.
Download my resumé
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Ph.D., Computer Science, completion in 2024
National University of Singapore
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Master's Degree (Passed with high distinction), Earth Oriented Space Science and Technology (ESPACE), 2016
Technische Universität München, Munich, Germany
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Bachelor's Degree (First Class Honours), Electrical and Electronics Engineering, 2014
Nanyang Technological University, Singapore
Skills
Experience
Full-time joint position with Ph.D. work.
Responsibilities include:
- Collaboration with Geo-Data Science team.
- Conducting research on geo-information extraction from imagery.
- Co-filed five patents (two granted).
Responsibilities include:
- Conducted market research, product design, algorithm development for satellite imagery based insight generation and services.
- Applied for and was awarded a government grant.
- Managed multi-cultural product development group and recruited team members.
Tasks:
- Supported data collection and performed data analysis for projects.
- Vehicle route detection and visualization from GPS logs.
Tasks:
- Developed algorithm for nail beautification application.
- Improved car plate recognition algorithm.
Education
Thesis: Usage of very high-resolution optical RGB satellite imagery in geo-information extraction for fine-scale map-making.
Supervisor: Prof. Roger Zimmermann
Major in Remote Sensing & Synthetic Aperture Radar (SAR). Passed with High Distinction.
Thesis: Object-based multi-view façade matching in SAR images of dense urban areas.
Supervisor: Prof. Xiaoxiang Zhu.
First Class Honours
FYP: Human Emotion Recognition to Improve Driving Safety.
